docstr: Components that should be included in the pipeline before this component.
docstr_tok: ["Components","that","should","be","included","in","the","pipeline","before","this","component","."]
code: def required_components(cls) -> List[Type]:
      """Components that should be included in the pipeline before this component."""
      return [Tokenizer]
  
imports: import logging
  from typing import Any, Text, Dict, List, Type
  from sklearn.feature_extraction.text import TfidfVectorizer
  from rasa.engine.recipes.default_recipe import DefaultV1Recipe
  from rasa.engine.graph import ExecutionContext, GraphComponent
  from rasa.engine.storage.resource import Resource
  from rasa.engine.storage.storage import ModelStorage
  from rasa.nlu.featurizers.sparse_featurizer.sparse_featurizer import SparseFeaturizer
  from rasa.nlu.tokenizers.tokenizer import Tokenizer
  from rasa.shared.nlu.training_data.training_data import TrainingData
  from rasa.shared.nlu.training_data.features import Features
  from rasa.shared.nlu.training_data.message import Message
  from rasa.nlu.constants import DENSE_FEATURIZABLE_ATTRIBUTES, FEATURIZER_CLASS_ALIAS
  from joblib import dump, load
  from rasa.shared.nlu.constants import TEXT, TEXT_TOKENS, FEATURE_TYPE_SENTENCE, FEATURE_TYPE_SEQUENCE
label_desc: Use image node_id 1 for calling the TfIdfFeaturizer obj's underlying member method code with example usage: obj.required_components(cls) and returns: list